configs:
- config_name: default
data_files:
- split: train
path: dataset/backpack/*.jpg
- config_name: backpack
data_files:
- split: train
path: dataset/backpack/*.jpg
- config_name: backpack_dog
data_files:
- split: train
path: dataset/backpack_dog/*.jpg
- config_name: bear_plushie
data_files:
- split: train
path: dataset/bear_plushie/*.jpg
- config_name: berry_bowl
data_files:
- split: train
path: dataset/berry_bowl/*.jpg
- config_name: can
data_files:
- split: train
path: dataset/can/*.jpg
- config_name: candle
data_files:
- split: train
path: dataset/candle/*.jpg
- config_name: cat
data_files:
- split: train
path: dataset/cat/*.jpg
- config_name: cat2
data_files:
- split: train
path: dataset/cat2/*.jpg
- config_name: clock
data_files:
- split: train
path: dataset/clock/*.jpg
- config_name: colorful_sneaker
data_files:
- split: train
path: dataset/colorful_sneaker/*.jpg
- config_name: dog
data_files:
- split: train
path: dataset/dog/*.jpg
- config_name: dog2
data_files:
- split: train
path: dataset/dog2/*.jpg
- config_name: dog3
data_files:
- split: train
path: dataset/dog3/*.jpg
- config_name: dog5
data_files:
- split: train
path: dataset/dog5/*.jpg
- config_name: dog6
data_files:
- split: train
path: dataset/dog6/*.jpg
- config_name: dog7
data_files:
- split: train
path: dataset/dog7/*.jpg
- config_name: dog8
data_files:
- split: train
path: dataset/dog8/*.jpg
- config_name: duck_toy
data_files:
- split: train
path: dataset/duck_toy/*.jpg
- config_name: fancy_boot
data_files:
- split: train
path: dataset/fancy_boot/*.jpg
- config_name: grey_sloth_plushie
data_files:
- split: train
path: dataset/grey_sloth_plushie/*.jpg
- config_name: monster_toy
data_files:
- split: train
path: dataset/monster_toy/*.jpg
- config_name: pink_sunglasses
data_files:
- split: train
path: dataset/pink_sunglasses/*.jpg
- config_name: poop_emoji
data_files:
- split: train
path: dataset/poop_emoji/*.jpg
- config_name: rc_car
data_files:
- split: train
path: dataset/rc_car/*.jpg
- config_name: red_cartoon
data_files:
- split: train
path: dataset/red_cartoon/*.jpg
- config_name: robot_toy
data_files:
- split: train
path: dataset/robot_toy/*.jpg
- config_name: shiny_sneaker
data_files:
- split: train
path: dataset/shiny_sneaker/*.jpg
- config_name: teapot
data_files:
- split: train
path: dataset/teapot/*.jpg
- config_name: vase
data_files:
- split: train
path: dataset/vase/*.jpg
- config_name: wolf_plushie
data_files:
- split: train
path: dataset/wolf_plushie/*.jpg
license: cc-by-4.0
Dataset Card for "dreambooth"
Dataset of the Google paper DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
The dataset includes 30 subjects of 15 different classes. 9 out of these subjects are live subjects (dogs and cats) and 21 are objects. The dataset contains a variable number of images per subject (4-6). Images of the subjects are usually captured in different conditions, environments and under different angles.
We include a file dataset/prompts_and_classes.txt which contains all of the prompts used in the paper for live subjects and objects, as well as the class name used for the subjects.
The images have either been captured by the paper authors, or sourced from www.unsplash.com
The dataset/references_and_licenses.txt file contains a list of all the reference links to the images in www.unsplash.com - and attribution to the photographer, along with the license of the image.
project page | arxiv
Academic Citation
If you use this work please cite:
@inproceedings{ruiz2023dreambooth,
title={Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation},
author={Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
Disclaimer
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